Steel Plates Faults

Donated on 10/25/2010

A dataset of steel plates’ faults, classified into 7 different types. The goal was to train machine learning for automatic pattern recognition.

Dataset Characteristics

Multivariate

Subject Area

Physics and Chemistry

Associated Tasks

Classification

Feature Type

Integer, Real

# Instances

1941

# Features

27

Dataset Information

Additional Information

Type of dependent variables (7 Types of Steel Plates Faults): 1.Pastry 2.Z_Scratch 3.K_Scatch 4.Stains 5.Dirtiness 6.Bumps 7.Other_Faults

Has Missing Values?

No

Variable Information

27 independent variables: X_Minimum X_Maximum Y_Minimum Y_Maximum Pixels_Areas X_Perimeter Y_Perimeter Sum_of_Luminosity Minimum_of_Luminosity Maximum_of_Luminosity Length_of_Conveyer TypeOfSteel_A300 TypeOfSteel_A400 Steel_Plate_Thickness Edges_Index Empty_Index Square_Index Outside_X_Index Edges_X_Index Edges_Y_Index Outside_Global_Index LogOfAreas Log_X_Index Log_Y_Index Orientation_Index Luminosity_Index SigmoidOfAreas

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Creators

M Buscema

S Terzi

W Tastle

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